On Stereoscopic Machine Vision with Limited Horizons

Yu Min Chen; Xiao Li Wang; Chen Zhang; Xian Min Meng

doi:10.4028/www.scientific.net/AMM.538.383

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Optical Flow-Based Monocular Vision/INS Integrated Navigation for Mobile Robot Indoors
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Iterative Learning Control for a Class of Modeling Undesirable Single Degree of Freedom System
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On Stereoscopic Machine Vision with Limited Horizons
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 538On Stereoscopic Machine Vision with Limited...

On Stereoscopic Machine Vision with Limited Horizons

Abstract:

This paper provides a path planning algorithm based on model that contains 3D vision data. Using this model and a six-legged platform, we propose that limited vision field should be considered in a path planning of 3D vision robot. We also give out a machine learning method to analysis a robot's obstacle capacity, and formed vector to measure it. Based on the model, we designed an algorithm that allow robot to navigate in 3D environment. Observation on its behavior proof that our algorithm and model will allow a robot to pass through random 3D terrain.

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Periodical:

Applied Mechanics and Materials (Volume 538)

Pages:

383-386

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.538.383

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Online since:

April 2014

Authors:

Yu Min Chen*, Xiao Li Wang, Chen Zhang, Xian Min Meng

Keywords:

Intelligence Algorithm, Machine Vision, Robotics

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* - Corresponding Author

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